Trending December 2023 # Predicting Storage Growth For 2004 And Beyond # Suggested January 2024 # Top 13 Popular

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This is certainly good news for storage vendors, but what does it mean for the future of the industry? Let’s take a look at several key areas that are predicted to shape the storage industry for 2004 and beyond.

“Seamless integration has always been and will only become more of a decision point for purchase by all end users.”

— Diamond Lauffin, Nexsan

Information Lifecycle Management

Although many industry analysts believe that through 2005 information lifecycle management (ILM) will be approximately 80 percent vision and 20 percent products, Diamond Lauffin, senior executive vice president of Nexsan Technologies, predicts it will be more like 95 percent vision and 5 percent implemented technologies.

Lauffin says that even five years ago the cost between the different types of storage were very dramatic, and the extreme differences of cost and performance allowed for manufactures to explore the concepts of HSM (Hierarchical Storage Management), etc. The premise, he says, is that the end user would like to have all of their data on-line all of the time. “Primary storage was too expensive, so we developed products like HSM to migrate data from high-priced disk to a near-line device like tape or optical,” says Lauffin.

However, according to Lauffin, today some storage vendors are supplying disk systems that are being used as primary, secondary, near-line, backup, and archive. “It’s the same exact system, no difference,” says Lauffin. Lauffin explains that there is no difference in cost to the end user regardless of the use.

“When you can provide a disk solution for backup and archive that is equal to or less in cost than tape and that same system is operating at speeds that allow it to be used as primary storage, why would an end user need a software application to migrate date to tiered storage?” he asks. However, he continues, “I do see a use for software that eliminates duplicate files so that end users are not keeping duplicate copies of files that are not going to change.”

John C. Lallier, vice president of technology, FalconStor, predicts that those figures may be closer to a 70/30 split because ILM is such a broad category. “It isn’t a lack of products as much as it is the need to define the processes these products will be used to automate,” says Lallier.

Others agree that while ILM is a good idea for larger organizations, it may be difficult to justify for the small to mid-sized enterprise (SME) segment, which is still wrestling with basic backup window and storage consolidation issues. The problems that ILM solves, according to Zophar Sante, vice president of marketing for SANRAD, are still not at the top of the list for the SME market. But he does believe that ILM solutions can be deployed at the same time as storage consolidation solutions are delivered to SME.

Sante believes that ILM suppliers who partner with IP SAN suppliers and Disaster Recovery (DR) solution providers could find that ILM capabilities layer nicely over the IP-SAN infrastructure. “Within a true IP SAN, there can exist multiple classes of storage systems — ranging from high-end $20K TB RAID solutions to $3K per TB disk solutions to removable media systems,” says Sante.

Sante also explains that any ILM solution can use all or part of an IP SAN infrastructure to seamlessly migrate files between all three classes of storage in a manner that is invisible to the application server. According to Sante, another way to use ILM in conjunction with an IP SAN is to use the IP SAN as a stage two repository for files located on the internal disk drives of the application server.

“For example,” he says, “an organization could have an email server with 1TB of internal RAID and 2TB of storage resources from an IP SAN. As needed, older files will be transferred between the internal RAID and the IP-SAN storage.” In this case, Sante explains, the ILM solution has 3TB of total storage capacity broken into two classes of storage — the precious and limited internal RAID of the server and the easy to expand IP SAN infrastructure.

“By the way,” Sante continues, “a true IP SAN infrastructure can easily have 500TB of capacity and can increase volumes on the fly.”

Page 2: Enhancing a system’s ability to handle innumerable transactions per second

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Finding The Best Ssds For Gaming Applications And Beyond

While many desktop PC users may be happy with basic solid state disks or even hard disks, gamers are often seeking the best performance possible from their systems and are frequently looking for the best SSDs for gaming. Manufacturers of custom gaming systems such as Maingear have turned to SSDs to get the best performance possible.

As applications go, computer games can place more stress on a computer than almost any other. Every subsystem — CPU, RAM, graphics, networking and storage — is worked to the max.

The graphics processing unit (GPU) is considered by many to be the most critical part of a gaming system, and it can have a huge impact on gaming performance, particularly on real-time simulations where the frame rate is the most important criteria for a seamless experience. However, as anyone who has waited minutes for the next section of a game to load can testify, the SSD benefits of speed, low latency and fantastic transfer rates come in a close second — and may even be first in games with large maps or high-intensity graphics.

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Staying within the same year of manufacture, a really high-end CPU or graphics card might triple or quadruple the performance of a basic version, but considering all the options, a top-of-the-line SSD can better the transfer rates of a basic hard drive by 10x or even 20x. Until recently, the trade-off was capacity. Gamers want terabytes, or even multiple terabytes, to accommodate the 10 GB or larger size of many games, while cost was limiting their choices to low-capacity SSDs or high-capacity HDDs. Maingear uses Samsung 960 PRO SSDs with capacities of up to 2TB in its systems.

Increasing SSD Capacities

However, the recent innovations in V-NAND construction created multilayer SSDs with 48 or 64 layers, resulting in SSDs with 2 or 4 TB of capacity and even better performance than previous generations. SSD benefits are obvious for gamers — enabled by the Non-Volatile Memory Express host controller interface, transfer rates can go from around 120 megabytes per second (MB/s) for HDDs, to 500-600 MB/s for SATA SSDs, to 3,500 MB/s for NVMe SSDs. These speeds can translate into decreased load times, sometimes by half or more.

The best SSDs for gaming are NVMe SSDs like the Samsung 960 PRO/EVO, which can produce huge gains in performance while generating less heat and using less power, a real plus in systems with multiple graphics cards. With high-end gaming systems using water cooling for CPU, memory, graphics cards and more, a part that uses less power can be a big benefit.

For systems without support on the motherboard for the NVMe interface, the best SSDs for gaming are SATA 6 GB/s SSDs like the Samsung 850 PRO, which offer over 550 MB/s read speeds and low costs as well.

For gamers looking for the ultimate in performance, systems without specific NVMe support on the motherboard can accommodate NVMe drives using an inexpensive PCI Express with an NVMe drive slot attached. The NVMe drive is mounted on the card, which is then mounted on a 4x PCIe slot.

Fortunately for gamers, and business users, V-NAND technology has resulted in rapid increases in SSD capacity without huge increases in prices. This means that not only can gamers use this technology for the latest releases, but enterprises can also incorporate it to handle high-capacity data applications and programs. There are business applications such as video and sound editing, software coding and compiling and special effects development that can also benefit greatly from the very fast SSDs that gamers prefer.

Find the best storage solutions for your business by checking out our award-winning selection of SSDs for the enterprise.

Seo Trends For 2023 And Beyond: Interviews With Two Leading Experts

At Pubcon 2014 in Las Vegas the SEJ team had the opportunity to catch up with Jake Bohall of Virante, and Joe Youngblood of Winner Winner Chicken Dinner, about SEO trends.

Jake discusses how he’s starting to see a shift towards SEO being integrated into all company practices, while Joe discusses some interesting new ways to build links.

Hear them explain more about this in the videos and recaps below:

SEOs Tools: An Interview with Jake Bohall

Here are some key takeaways from the video:

Jake believes the future of SEO is shifting more towards using tools and having people on your team who are capable of using those tools, instead of some of the more specialty skill sets people have.

Technical SEO will always be there, says Jake, but certain aspects are becoming more integrated within other business units in a company. For example, link building has become more of a PR strategy with a growing focus on outreach and relationship building.

Jake thinks the days of writing content by following an SEO on-page checklist are going away in favor of using tools like nTopic to help you create authoritative content.

To clarify, SEOs will never be replaced. SEOs bring a very valuable skill set to the technical side, whereas developers don’t have that strong marketing sense when they’re building a site. Adhering to Google’s guidelines is not as much of a concern for developers as it is for SEOs.

Jake says our role as SEOs is going to be more based on the technical side, and then taking that technical expertise and building innovative tools that companies can use in house.

As SEO becomes more and more complex you’re starting to see more SEOs specializing in individual areas, like keyword research, or local search, etc.

Jake says the biggest thing an SEO can do right now is identify what their core competency is and focus on that. For a company, the best thing you can do is find a way to educate your staff about SEO practices so you can integrate it throughout your organization.

Quality Link Building: An Interview with Joe Youngblood

Here are some key takeaways from the video:

Stop being so afraid of building links, Joe says. A lot of site owners try to take the shortcut of buying links due to the instant gratification, rather than putting in the work to try to earn links.

Instead of asking “What if I do this content marketing thing and I don’t get any links out of it?”, site owners should be more concerned about angering Google by taking the easy way out, and having your site buried in the search results.

Link building takes time, but you have to stop being afraid to do it.

One of the biggest concerns Joe sees from site owners is the thought that they might invest a lot of money into creating content that doesn’t gain any traction.

Instead of second guessing yourself, just start putting in the work. You’ll never see if it works if you don’t do it

Something Joe pushes a lot is a tactic called “scholarship link building.” You can do a scholarship for as little as a few thousand a year and hand over the management to an entirely separate company, then you’ll get a number of high authority links from universities.

Please visit SEJ’s YouTube page for more video interviews.

Top Technology Trends For Cios To Watch In 2023 And Beyond

CIOs should ensure that they know the top technology trends for 2023 for enterprise

Associations have gone through a dramatic transformation, sped up by the real factors of the most recent two years. Chief information officers are confronting refocused essential drives that are moving away from addressing the requests connected with the pandemic. With the digital transformations that have bloomed in endeavors beginning around 2023, CIOs have turned into a vital piece of plans to manage a developing client base that is fundamentally more technically knowledgeable. Now is the time for these CIOs to evaluate their organizational priorities and focus on trends that can help maximize the growth and impact of their businesses. The 2023 trends poised to shape automation this year and beyond will focus on modernizing the variations of workspaces—remote, hybrid, and in-office.

Hybrid workplace enablement tools

The benefit of the hybrid work model is that employees can choose to work wherever and whenever they please, meaning they can schedule time for learning and improvement more easily than if they were fully remote or office workers. Learning, training, and development don’t just happen inside training courses. As the impact of COVID-19 persists and hybrid work continues, new and better tools to enable the mixed environment may emerge and CIOs should keep a close on these tools.

The continuing data explosion

People and businesses are generating more data than ever before. Organizations presently gather gigantic measures of buyer information from an assortment of sources. However, much of this data is not being tapped into, as it is locked away in unprocessed documents. Numerous associations are arriving at an intersection and should decide how to use each of their information to illuminate direction or face the gamble of falling behind their rivals. Automation and intelligent document processing (IDP) solutions can transform inaccessible, unstructured data into structured, actionable data to give companies the ability to glean more data-driven insights.

Widespread automation Smart space technology

This will be augmented with smart space technologies that help in building intelligent physical spaces, such as manufacturing plants, retail stores, and sports stadiums. According to reports, 82 percent of IT leaders agree that implementing smart building technologies that benefit sustainability, decarbonization, and energy savings have become a top priority.

Collaborative data platforms

The ability to share data beyond organizational borders to create new insights is becoming increasingly important. The ability to create data ecosystems will be a top priority for enterprises in 2023. Secure, real-time cloud-based data exchanges, along with solution providers that enable collaboration based on data without the actual sharing of the granular data itself, are key enabling technologies here.

Blockchain applications

The enterprise use cases for open-source distributed databases and ledger technology are becoming clearer. The four most important uses cases cited by IT leaders according to the survey will be secure machine-to-machine interaction in the Internet of Things, shipment tracing and contactless digital transactions, keeping health and medical records secure in the cloud, and securing connecting parties within a specified ecosystem.

Generative AI

The world is abuzz with the promise of generative AI from natural-language generation models that can write computer code to algorithms that produce deepfakes. It’s not all hype. There are some meaty enterprise applications for generative AI, which is far more dynamic than the machine learning currently being used in most organizations.

Generative AI refers to the capability of artificial intelligence-enabled machines to use existing text, audio files, or images to create new content. In other words, it runs on algorithms that identify the underlying pattern of an input to generate similar plausible content.

Next-generation EDR

Predicting House Prices Using Keras Functional Api

This article was published as a part of the Data Science Blogathon.


Th e functional API can handle models with non-linear topology, shared layers, and even multiple inputs or outputs. On the contrary, The sequential A to create a model layer-by-layer for most problems. It is limited in that it does not allow the user to create models that share layers or have multiple inputs or outputs.

In a functional API, models are defined by creating instances of layers and connecting them directly to each other in pairs, then defining a Model that specifies the layers to act as the input and output of the model.

There are three main aspects of a functional model –

1. Defining the input – Unlike the Sequential model, a standalone Input layer must be created that specifies the shape of input data. The input layer takes a shape argument that is a tuple that indicates the dimensionality of the input data.

2. Connecting Layers – The layers in the model are connected in pairs. The previous layer is kept in the bracket of the next layer.

3. Creating the model – the model created takes two parameters (the input and output) in which the value is given should connect both layers.

The Task

Now, the problem statement is to predict house prices using the images and features of the houses. The dataset contains images of 535 houses where there are 4 images of each house, the bathroom, bedroom, frontal and kitchen and the house attributes extracted from the images(No of bedroom, No of bathroom, Area, Zipcode and Price).

View the dataset!

There are many ways to solve this problem but the approach we are taking will be using the Keras Functional API. Each part of the house (eg. bedroom) will have its own convolution neural network and then at the end, the last hidden layer of each part will be concatenated to form the final layer of the image part and then later it will also get concatenated with the final layer of the attributes to form the final output layer.

So let’s begin-

First, we will load important libraries. To create a functional model you need the following relevant libraries also with the common libraries.

from tensorflow.keras.models import Model from tensorflow.keras.layers import Dense, MaxPooling2D, Conv2D, GlobalAveragePooling2D, Input, concatenate, Dropout

Loading house attributes –

df = open('HousesInfo.txt','r') df = df.readlines() for index, line in enumerate(df): df[index] = line.strip() for i in range(len(df)): df[i] = df[i].split() for j in range(5): df[i][j] = float(df[i][j])

Converting attributes into dataframe –

df = pd.DataFrame(df, columns=['Bedrooms','Bathrooms','Area','Zipcode','Price']) df

The output –

Now, creating input and output for the attributes, perform standardization and splitting them into train and test –

y = df['Price'] X = df.drop('Price', axis=1) columns = ['Area','Zipcode'] #Standardizating both non-categorical features and prices scaler = StandardScaler() X = np.array(X.join(pd.DataFrame(scaler.fit_transform(X[columns]))).drop(columns, axis=1)) y = scaler.fit_transform(np.array(y).reshape(-1,1)).reshape(-1) data_train, data_test, y_train, y_test = train_test_split(X, y, test_size=0.15, random_state=42)

Now, creating the model for the attributes upto the hidden layer using Keras functional API with proper use of the aspects – 

input_data = Input(shape=4) #Creating model for feature dataset without training as it will be combined with image data later model1 = Dense(4, activation='relu', kernel_initializer='uniform')(input_data) model1 = Dense(12, activation='relu')(model1)

Now, we will Load the images and convert it into a 2D array list of length 535 depicting the houses and each of the houses containing 4 images.

#creating image dataset rooms = ['bathroom','bedroom','frontal','kitchen'] CATEGORIES = [([(str(j)+'_'+i) for i in rooms]) for j in range(1,536)] k = [] for a in CATEGORIES: for b in a: k.append(b) data = [] rooms = [] for category in CATEGORIES: for i in range(len(category)): path = DATADIR im_array = cv2.imread(os.path.join(path, category[i]+'.jpg')) img_array = cv2.cvtColor(im_array, cv2.COLOR_BGR2RGB) new_array = cv2.resize(img_array, (100, 100)) rooms.append(new_array) data.append(np.array(rooms)) rooms.clear() #Converting the list into array and dividing it by 255 to keep the values between 0 and 1. X = np.array(data) X = X/255

Now splitting the data into the 4 categories and creating training data for each of them –

bathroom = [] for a in range(X.shape[0]): bathroom.append(X[a][0]) bedroom = [] for b in range(X.shape[0]): bedroom.append(X[b][1]) frontal = [] for c in range(X.shape[0]): frontal.append(X[c][2]) kitchen = [] for d in range(X.shape[0]): kitchen.append(X[d][3]) #Fetching different categories from image data

bathroom_train, bathroom_test, y_train, y_test = train_test_split(np.array(bathroom), y, test_size=0.15, random_state=42)

bedroom_train, bedroom_test, y_train, y_test = train_test_split(np.array(bedroom), y, test_size=0.15, random_state=42)

frontal_train, frontal_test, y_train, y_test = train_test_split(np.array(frontal), y, test_size=0.15, random_state=42)

kitchen_train, kitchen_test, y_train, y_test = train_test_split(np.array(kitchen), y, test_size=0.15, random_state=42)

Now finally we will start creating the functional API using proper norms.

1. Defining the Input for each category - Input_bath = Input(shape=(100,100,3)) Input_bed = Input(shape=(100,100,3)) Input_front = Input(shape=(100,100,3)) Input_kitchen = Input(shape=(100,100,3))

2. Now connecting layers for each category and later combine all of it with the attributes –

bath = Conv2D(filters = 32, kernel_size = (3,3),padding = 'Same',activation ='relu')(Input_bath) bath = MaxPooling2D(pool_size=(2,2))(bath) bath = Conv2D(filters = 16, kernel_size = (3,3),padding = 'Same',activation ='relu')(bath) bath = MaxPooling2D(pool_size=(2,2))(bath) bath_final = GlobalAveragePooling2D()(bath) bed = Conv2D(filters = 32, kernel_size = (3,3),padding = 'Same',activation ='relu')(Input_bed) bed = MaxPooling2D(pool_size=(2,2))(bed) bed = Conv2D(filters = 16, kernel_size = (3,3),padding = 'Same',activation ='relu')(bed) bed = MaxPooling2D(pool_size=(2,2))(bed) bed_final = GlobalAveragePooling2D()(bed) front = Conv2D(filters = 32, kernel_size = (3,3),padding = 'Same',activation ='relu')(Input_front) front = MaxPooling2D(pool_size=(2,2))(front) front = Conv2D(filters = 16, kernel_size = (3,3),padding = 'Same',activation ='relu')(front) front = MaxPooling2D(pool_size=(2,2))(front) front_final = GlobalAveragePooling2D()(front) kitchen = Conv2D(filters = 32, kernel_size = (3,3),padding = 'Same',activation ='relu')(Input_kitchen) kitchen = MaxPooling2D(pool_size=(2,2))(kitchen) kitchen = Conv2D(filters = 16, kernel_size = (3,3),padding = 'Same',activation ='relu')(kitchen) kitchen = MaxPooling2D(pool_size=(2,2))(kitchen) kitchen_final = GlobalAveragePooling2D()(kitchen) #combining all inputs combined = concatenate([bath_final, bed_final, front_final, kitchen_final]) #adding regularization and creating the final layers for the image category dropout = Dropout(0.5)(combined) hidden1 = Dense(64, activation='relu')(dropout) hidden2 = Dense(32, activation='relu')(hidden1) #combining both output of the images and the features of the houses combined2 = concatenate([model1, hidden2]) output = Dense(1, activation='linear')(combined2) 3. Finally, creating the model- model=Model(inputs=([Input_bath, Input_bed, Input_front, Input_kitchen, input_data]), outputs=output)

Now compiling and fitting the model using proper callbacks we get: 

callbacks = [ tf.keras.callbacks.EarlyStopping(patience=60, restore_best_weights=False), tf.keras.callbacks.ReduceLROnPlateau(patience=35, factor=0.1) ][bathroom_train, bedroom_train, frontal_train, kitchen_train, data_train], y_train, epochs=200, callbacks=callbacks, batch_size=96, validation_split=0.15)


You can solve the problem with more improvement using image augmentation and performing hyperparameter tuning on the model.

The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion. 


Cyber Monday External Hdd Deals For Extra Storage

Cyber Monday External HDD Deals for Extra Storage

If the built-in storage capacity of your computer has been exceeded, you may want to get an external hard disk drive.

These solutions come in handy if you need to expand the storage capacity of your machine or if you need a portable storage solution.

Not everyone needs a 4TB hard drive. But maybe a 1TB hard drive is not enough for your storage needs. Or maybe you just need something in between.

Check out the guides below where we filtered the best external HDDs by their storage capacity.

What external hard drive is most reliable? 1TB External HDDs

Second is being able to keep a backup of your important data that might be too large to store on your cloud storage account.

2TB External HDDs

As the demand for high-quality 4K and Blu-ray contents are increasing the need for large storage devices are also in full swing. An average Blu-ray movie can take up to 25GB of storage space which makes it essential to have external hard drives with at least 2TB or more storage.

4TB and 8TB External HDDs

External hard drives offer a simple but reliable way to protect your entire digital information and have proven to be one of the must-have companions for your PC. High-capacity drives bring more storage, faster data transfer speeds, and are more convenient for bigger files –read music, video, and software.

5TB External HDDs

Second is being able to keep a backup of your important data that might be too large to store on your cloud storage account.

SSD external hard drive

SSDs have become more and more popular in the last few years. And the price dropped significantly, as well. If you’re looking for an affordable way to increase your storage space and speed up your computer, grab one of these deals right now and you won’t regret.

USB-C hard drive

Looking for a backup solution for your important files but the transfer speed of your current external drive is too slow? The solution is a USB-C external HDD or SSD. Besides the increased speed, you can also use a single cable for all your devices and carry it with you all day due to it’s compact size.

Best external HDD for video editing

Although SSDs are faster, they are also expensive. External HDDs are a much cheaper alternative and usually, they offer a lot more storage for the price. If the price tag and storage capacity are important to you, take a look at these awesome options and choose the one that suits you best.

Best external HDD for Xbox Series X, S, One

If you’re a Xbox owner, you know how important storage space is, especially now when some of the newer games can take up to 50 or 100 GB. For some peace of mind, you’ll need a dedicated Xbox external HDD with lots of storage. Fortunately, we’ve got some of the best deals that you can get today.


When you’re choosing an external hard drive, you always have to take into consideration the manufacturer. Some of them offer amazing features but are more expensive, others have affordable prices, while some have a long lasting record of being reliable or not.


For those who need more than extra storage capacity from their hard drive, there are multiple options available. Photographers, content creators, professionals, and those that are looking for extra connectivity on the go, here are the best external hard drives with SD card readers.

Music production

If we’re talking about music production, you’ll need an external hard drive that has very good reading speeds. This helps with avoiding latency and playing the tunes you love without any interruptions or skipping.

Best external HDD for Gaming – PS4, PS5, PC

Your gaming rig has run out of space? Don’t worry, you can keep most of your games on external hard drives. But gaming and choose the best one for you.


Using your external hard drive for sensitive information can be a bit risky. Usual drives won’t offer too much protection. That’s why the best option is an encrypted external hard drive that can keep all your files away from prying eyes.

In addition to these awesome solutions, you might also be interested in these popular items:

That’s about it! Happy shopping!

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